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Daedalean
2mo ago

Machine Learning Ops Engineer(m/w/x)

Zürich
Full-timeWith Home Office
AI/ML
Data Science

Description

In this role, you will design and maintain the tools and infrastructure that support machine learning development, ensuring everything runs smoothly for the teams involved. Your work will involve building APIs, managing databases, and optimizing algorithms while collaborating closely with various teams.

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Requirements

  • Proven track record of coding in C++ and/or Rust
  • Strong affinity for working with large amounts of data, preferably video/images
  • Good understanding of neural network experimentation and life cycle management
  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Familiarity with containerization and orchestration tools such as Argo, Kubernetes, Docker
  • Familiarity and/or interest in web technologies such as web APIs, databases, storage systems

Tasks

  • Design and implement tools for ML development
  • Maintain infrastructure for ML environments
  • Ensure efficiency, scalability, and reliability of systems
  • Adhere to certification requirements in development
  • Build web APIs and Kubernetes workflows
  • Manage databases and storage solutions
  • Develop in-house tools using Rust, C++, Python, or Golang
  • Deploy and maintain third-party software tools
  • Collaborate with ML Development, Data Management, and Data Annotation teams
  • Support flight test recording processing
  • Manage annotation tooling pipelines
  • Optimize neural network algorithms
  • Oversee inference platforms and configuration management

Tools & Technologies

C++RustAWSAzureGCPArgoKubernetesDockerWeights & BiasesClearMLDeterminedAIRay

Languages

EnglishBusiness Fluent

Benefits

Healthcare & Fitness

  • Gym membership
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